Negotiater

Negotiation Intelligence page
Financial Readiness page
what does our tool do info. page
Career & Offer Intelligence page
summary page
input page
homepage

Inspiration

Salary negotiation is one of the few career decisions that can significantly influence a person's long-term earnings, yet most professionals still negotiate using intuition, generic salary websites, or advice from friends. These approaches ignore an individual's financial commitments, professional experience, and the specific role they are applying for.

We wanted to answer one simple question:

What if salary negotiation could be backed by evidence instead of guesswork?

That idea became Negotiator, an AI-assisted salary negotiation platform that combines financial readiness, career analysis, and live market intelligence to generate a personalized negotiation strategy.

What it does

Negotiator helps professionals determine:

Their Financial Floor (minimum salary they should accept)
A realistic market salary range
An evidence-backed target salary
Negotiation confidence
Personalized talking points
A phone negotiation script
A counter-offer email
A downloadable negotiation report

Instead of returning a single salary estimate, Negotiator provides a complete negotiation playbook backed by transparent reasoning.

How we built it

Negotiator follows a hybrid intelligence architecture, where deterministic business logic performs calculations while AI focuses on communication and explanations.

Inputs

Bank Statement (CSV/PDF)
Resume
Job Description

Processing Pipeline

Bank Statement
        +
Resume
        +
Job Description
        │
        ▼
Document Parsing
        │
        ▼
Financial Analysis
        +
Career Analysis
        +
Market Intelligence
        │
        ▼
Recommendation Engine
        │
        ▼
Negotiation Strategy
        │
        ▼
AI-generated Scripts & Reports

Tech Stack

Frontend: Next.js, React, TypeScript, Tailwind CSS
AI: Groq LLM
Market Intelligence: Adzuna Salary API
Data: Local Salary Dataset
Recommendation Engine: Custom deterministic scoring model

Recommendation Model

Rather than allowing AI to invent a salary recommendation, Negotiator combines three independent pillars.

Component	Purpose
Financial Readiness	Determines the Financial Floor using income, expenses, savings, liabilities, and financial stability.
Career Match	Evaluates resume-job alignment, experience, skills, leadership, and responsibility growth.
Market Intelligence	Combines live salary benchmarks from Adzuna with local salary datasets to estimate market value.

These three components are weighted together to generate the final recommendation.

Final Recommendation =
Financial Readiness
+ Career Match
+ Market Intelligence

The recommendation engine is deterministic and explainable.

The LLM is used only for:

Explaining recommendations
Generating negotiation scripts
Writing counter-offer emails
Producing personalized negotiation insights

Challenges we faced

The biggest challenge was making recommendations realistic rather than simply AI-generated.

Some key challenges included:

Separating Financial Floor from Market Value.
Preventing recommendations that contradicted live market benchmarks.
Building semantic skill matching instead of relying solely on exact keyword matching.
Designing a recommendation engine that remains functional even if external APIs become unavailable.
Making every recommendation transparent so users understand why a salary was recommended.

Another challenge was maintaining internal consistency. For example, the expected settlement should never fall below the Financial Floor, and confidence scores should accurately reflect the strength of the candidate's profile.

What we learned

This project reinforced an important lesson:

AI should support decision-making, not replace it.

The strongest recommendation systems combine structured data, deterministic reasoning, and AI-generated communication.

We also learned that transparency builds trust. Users are far more confident in a recommendation when they can clearly understand the evidence behind it.

Future Improvements

Company-specific salary benchmarks
Multi-country salary intelligence
Embedding-based semantic skill matching
Multiple offer comparison
AI recruiter negotiation simulator with adaptive difficulty
Salary growth forecasting based on career progression

Conclusion

Negotiator transforms salary negotiation from an uncertain conversation into an evidence-backed decision.

By combining financial readiness, professional experience, and real-time market intelligence, the platform helps professionals understand their worth, negotiate confidently, and make informed career decisions instead of relying on guesswork.